from fastvideo import VideoGenerator OUTPUT_PATH = "video_samples_wan2_2_5B_ti2v" def main(): # FastVideo will automatically use the optimal default arguments for the # model. # If a local path is provided, FastVideo will make a best effort # attempt to identify the optimal arguments. model_name = "Wan-AI/Wan2.2-TI2V-5B-Diffusers" generator = VideoGenerator.from_pretrained( model_name, # FastVideo will automatically handle distributed setup num_gpus=1, use_fsdp_inference=False, # set to True if GPU is out of memory dit_cpu_offload=True, vae_cpu_offload=False, text_encoder_cpu_offload=True, pin_cpu_memory=True, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument" # image_encoder_cpu_offload=False, ) # I2V is triggered just by passing in an image_path argument prompt = "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside." image_path = "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG" video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, image_path=image_path) # Generate another video with a different prompt, without reloading the # model! # T2V mode prompt2 = ("A majestic lion strides across the golden savanna, its powerful frame " "glistening under the warm afternoon sun. The tall grass ripples gently in " "the breeze, enhancing the lion's commanding presence. The tone is vibrant, " "embodying the raw energy of the wild. Low angle, steady tracking shot, " "cinematic.") video2 = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True) if __name__ == "__main__": main()